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Article
Peer-Review Record

Real-Time Hybrid Navigation System-Based Path Planning and Obstacle Avoidance for Mobile Robots

Appl. Sci. 2020, 10(10), 3355; https://doi.org/10.3390/app10103355
by Phan Gia Luan and Nguyen Truong Thinh *
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Appl. Sci. 2020, 10(10), 3355; https://doi.org/10.3390/app10103355
Submission received: 14 March 2020 / Revised: 13 April 2020 / Accepted: 7 May 2020 / Published: 12 May 2020

Round 1

Reviewer 1 Report

This work proposes a complete hybrid navigation system for differential drive mobile robot that involveto the static-environment global-path planning and dynamic environment obstacle avoidance task. The trajectory of the robot is planned according to multi Agent A heuristics algorithm and automatic reshaping piecewise cubic Bezier curve method, and the weightedsum model and scene analysis are used to enhance the obstacle avoidance ability of mobile robot. Generally, the combination of WSM and PCBC is an innovative attempt, and the theoretical part and experimental part are relatively complete, can better explain the effect of the system. Mycomments are listed below:

1.For the author whose label number is 2, there is no corresponding introduction information.
2.Figure 1 needs to be improved to more vividly demonstrate the framework of the system proposed in this paper.
3.The writing of the denominator of formula 2 is not professional enough, and the typesetting of formula 9 is a bit messy. Please carefully check the format of allformulas.
4.A more detailed description of the WSM and PCBC algorithmwould be helpful. Using pseudo-code and diagrams would be very useful.
5.It is suggested to refer to more research papers, strengthen the research background, and compare the differences and advantages: A sEMG-Based Shared Control System with No-Target Obstacle Avoidance for Omnidirectional Mobile Robots; Mixed Reality Enhanced User Interactive Path Planning for OmnidirectionalMobile Robot.
6.In the experimental part, it is better to have a curve comparison with the results of other algorithms to express the effect more clearly.
7.Pay attention to the grammar and format of the text and check the details carefully. For example, a period is missing at the end of figure 2, and the font formatof the notes is not uniform (some bold and some unbold).

Author Response

Dear Reviewer,

We are authors of the article named “Real-Time Hybrid Navigation System-based Path Planning and Obstacle”.

Please see the attachment.

Thanks for considering our replies.

Sincerely.

Author Response File: Author Response.pdf

 

Reviewer 2 Report

English is so poor that the paper in many places is unreadable.

Proposed algorithms are small modification of the known ones.

Author Response

Dear Reviewer,

We are authors of the article named “Real-Time Hybrid Navigation System-based Path Planning and Obstacle”.

Please see the attachment.

We thank for considering our replies.

Sincerely.

Author Response File: Author Response.pdf

 

Reviewer 3 Report

The whole system integrates different parts of implementations of existing methodologies. A flow chart or block diagram  showing the whole system is good for readability.

Many grammatical errors. The writing on some subsections e.g. 1.2.2 is not well-written.

eq.(2) is not correctly typed.

Author Response

Dear Reviewer,

We are authors of the article named “Real-Time Hybrid Navigation System-based Path Planning and Obstacle”.

Please see the attachment.

We thank for considering our replies.

Sincerely.

Author Response File: Author Response.pdf

 

Round 2

Reviewer 2 Report

Proposed algorithms are small modification of the known ones.

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